Gemma 3n 4B is good. These would like a word anyway.
Gemma 3n 4B is good. These would like a word anyway.
Google's Gemma 3n at the E4B size, built to run on phones, laptops and tablets. Text, image and audio in, for transcription, translation and image analysis. Per-Layer Embedding caching and the MatFormer architecture activate only part of the model per request, which keeps memory use low. 32K context, 140+ languages.
fromimport openai OpenAI
client = OpenAI(
"https://openrouter.ai/api/v1" base_url=,
"$OPENROUTER_API_KEY" api_key=,
)
response = client.chat.completions.create(
"google/gemma-3n-e4b-it" model=,
"role""user""content""Hello!" messages=[{: , : }],
)
print(response.choices[0].message.content)Set OPENROUTER_API_KEY with your OpenRouter API key from openrouter.ai/keys.
Taste is judged on an uncapped scale, originality first. The space past 100 is craft today's models rarely reach.
Unique words vs. total words. Higher = richer vocabulary.
Average words per sentence.
"Might", "perhaps", "arguably" per 100 words.
**Bold** markers per 1,000 characters.
Bullet and numbered list items per 1,000 characters.
Markdown headings per 1,000 characters.
Emoji per 1,000 characters.
"However", "moreover", "furthermore" per 100 words.
52 outputs · $0.0017 tracked across 34 receipts
Google's Gemma 3n at the E4B size, built to run on phones, laptops and tablets. Text, image and audio in, for transcription, translation and image analysis. Per-Layer Embedding caching and the MatFormer architecture activate only part of the model per request, which keeps memory use low. 32K context, 140+ languages.
fromimport openai OpenAI
client = OpenAI(
"https://openrouter.ai/api/v1" base_url=,
"$OPENROUTER_API_KEY" api_key=,
)
response = client.chat.completions.create(
"google/gemma-3n-e4b-it" model=,
"role""user""content""Hello!" messages=[{: , : }],
)
print(response.choices[0].message.content)Set OPENROUTER_API_KEY with your OpenRouter API key from openrouter.ai/keys.
Taste is judged on an uncapped scale, originality first. The space past 100 is craft today's models rarely reach.
Unique words vs. total words. Higher = richer vocabulary.
Average words per sentence.
"Might", "perhaps", "arguably" per 100 words.
**Bold** markers per 1,000 characters.
Bullet and numbered list items per 1,000 characters.
Markdown headings per 1,000 characters.
Emoji per 1,000 characters.
"However", "moreover", "furthermore" per 100 words.
52 outputs · $0.0017 tracked across 34 receipts